一种基于取余处理的距离模糊高速目标积累检测方法

By constructing a radial motion model and applying the MGRFT algorithm for coherent accumulation, the problem of poor detection performance caused by distance ambiguity in traditional methods is solved, and efficient detection of high-speed and highly maneuverable targets is achieved.

CN115808661BActive Publication Date: 2026-07-17UNIV OF ELECTRONICS SCI & TECH OF CHINA

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
UNIV OF ELECTRONICS SCI & TECH OF CHINA
Filing Date
2022-12-19
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

When dealing with high-speed, highly maneuverable targets, existing technologies often suffer from poor detection performance due to distance ambiguity in traditional coherent accumulation algorithms, making it difficult to effectively detect such targets.

Method used

A high-speed target accumulation detection method based on remainder processing is adopted. By constructing a radial motion model and applying the MGRFT algorithm for coherent accumulation, the range migration and Doppler migration are corrected to achieve energy accumulation of the echo signal.

Benefits of technology

It significantly improves the radar's detection performance in low signal-to-noise ratio environments, effectively eliminates the effects of range ambiguity and Doppler ambiguity, and enables effective detection of high-speed targets.

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Abstract

本发明公开一种基于取余处理的距离模糊高速目标积累检测方法,应用于雷达信号处理领域,针对现有技术存在目标距离模糊情况下的积累性能不够优良的问题,本发明首先,构建了距离模糊情况下高速目标与雷达间的径向运动模型,并建立相应的接收机端回波信号模型以描述目标轨迹断裂现象;随后,在时域应用MGRFT算法寻址目标断裂轨迹,并校正补偿目标高速运动引起的距离走动和多普勒走动,以实现回波信号能量的相参积累。
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